# Nursing quiz

##### Nursing Research Quiz - 27 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

#### Nursing Research Quiz - 27

##### multivariate analysis

1. A statistical procedure to test mean differences among groups on a dependent variable, while controlling for one or more extraneous variables:

A. Causal model

B. Analysis of Covariances (ANCOVA)

C. Structural Equation Modeling (SEM)

D. Path analysis

2. A statistical testing procedure for examining the relationship between two or more independent variables and two or more dependent variables is:

A. Cluster analysis

B. Multiple regression

C. Canonical analysis

D. Survival analysis

3. A variable that is statistically controlled in ANCOVA (analysis of covariance), which typically has an extraneous, confounding influence over dependent variable:

A. Mediating variable

B. Manifest variable

C. Latent variable

D. Covariate

4. In path analysis, a variable whose determinants lie outside the model is:

A. Exogenous variable

B. Latent variable

C. Manifest variable

D. Mediating variable

5. A multivariate statistical procedure for reducing a large set of variables into a smaller set of variables with common characteristics is:

A. Linear regression

B. ANCOVA

C. Factor analysis

D. MANOVA

6. A statistical procedure which typically used for testing causal models:

A. LISREL (Linear Structural Relations Analysis)

B. Survival analysis

C. Logistic regression

D. MANOVA

7. A multivariate statistical procedure which analyses relationship between multiple independent variables and categorical dependent variables:

A. ANCOVA

B. Logistic regression

C. Multiple regression

D. MTMM

8. Kaplan–Meier estimator curves are related to:

A. Structural equation modeling

B. Cluster Analysis

C. Survival analysis

D. Canonical Discriminant Analysis

9. A general method for fitting and testing path analysis models, based on covariances:

A. MTMM

B. Structural Equation Modeling (SEM)

C. Multiple regression

D. MANOVA

10. Cox proportional hazards models are applied in:

A. Canonical Discriminant Analysis

B. Correspondence Analysis

C. Cluster Analysis

D. Survival analysis